Minto, AK · On-site +1
$108K - $148K/yr
Deploy real-time monitoring for model drift, hallucination detection, latency, and token ... IT landscape. #remote #LI-TS1 Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.
Minto, AK · On-site +1
$108K - $148K/yr
Deploy real-time monitoring for model drift, hallucination detection, latency, and token ... IT landscape. #remote #LI-TS1 Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.
Juneau, AK · On-site +1
$3.0K - $3.4K/wk
Fairbanks, AK Job Type: Full Time Remote Employment: Flexible/Hybrid Job Number: 54969 Department ... technology, computer engineering, or a similar field or experience in monitoring networks ...
Juneau, AK · On-site +1
$3.0K - $3.4K/wk
Fairbanks, AK Job Type: Full Time Remote Employment: Flexible/Hybrid Job Number: 54969 Department ... technology, computer engineering, or a similar field or experience in monitoring networks ...
Anchorage, AK · Remote
$91K - $119K/yr
Finance Manager - Security Services Location - Remote The Essential Duties and Responsibilities are ... Monitor labor costs, fringe, and indirect allocations, including burn rates against budget ...
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Anchorage, AK · Remote
$91K - $119K/yr
Finance Manager - Security Services Location - Remote The Essential Duties and Responsibilities are ... Monitor labor costs, fringe, and indirect allocations, including burn rates against budget ...
Anchorage, AK · On-site +1
This position offers the flexibility to be fully remote while working within reasonable commuting ... Monitor Outside Counsel Guidelines (OCGs) - Track changes and implement security requirements using ...
Anchorage, AK · On-site +1
This position offers the flexibility to be fully remote while working within reasonable commuting ... Monitor Outside Counsel Guidelines (OCGs) - Track changes and implement security requirements using ...
$13.72 - $15.42
2% of jobs
$15.42 - $17.11
12% of jobs
$18.51 is the 25th percentile. Wages below this are outliers.
$17.11 - $18.80
14% of jobs
The median wage is $20.39 / hr.
$18.80 - $20.50
24% of jobs
$20.50 - $22.19
7% of jobs
$22.19 - $23.89
8% of jobs
$23.89 - $25.58
7% of jobs
$25.64 is the 75th percentile. Wages above this are outliers.
$25.58 - $27.28
8% of jobs
$27.28 - $28.97
6% of jobs
$28.97 - $30.67
5% of jobs
$30.67 - $32.36
5% of jobs
$13
$22
$32
A Remote EKG Monitor Tech is a healthcare professional who monitors patients' heart rhythms from a remote location using electrocardiogram (EKG) technology. They analyze real-time cardiac data, identify irregularities, and alert medical teams when necessary. This role is essential for detecting heart conditions early and ensuring timely medical intervention. It requires knowledge of cardiac rhythms, strong attention to detail, and the ability to work independently in a remote setting.
A typical shift for a Remote EKG Monitor Tech involves continuously reviewing patient heart rhythm data from remote monitoring systems, identifying any abnormalities, and promptly notifying appropriate medical personnel. Work is often organized in shifts that may require weekend, night, or holiday coverage to ensure around-the-clock monitoring. Remote EKG Monitor Techs usually collaborate with other technicians and healthcare providers through secure communication platforms and detailed documentation. This setup allows you to make a significant impact on patient care while maintaining a flexible work-from-home environment.
To thrive as a Remote EKG Monitor Tech, you need a solid understanding of cardiac rhythms, attention to detail, and typically a certification such as Certified Cardiographic Technician (CCT) or Certified Rhythm Analysis Technician (CRAT). Familiarity with EKG monitoring software, telehealth systems, and secure data transmission platforms is essential. Strong communication skills, reliability, and the ability to remain focused during extended periods of monitoring are valuable soft skills in this role. These competencies ensure accurate monitoring, timely reporting of abnormalities, and effective teamwork in a remote healthcare environment.
For Remote Ekg Monitor Tech jobs in Alaska, the most frequently searched job titles are:
The top searched job categories for Remote Ekg Monitor Tech jobs in Alaska are:
$108K - $148K/yr
Full-time
Re-posted 15 days ago
By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.
Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies
Certified as a Great Place to Work
Fortune Best Workplaces in Financial Services & Insurance
Senior Engineer - LLMOps & MLOpsRole Overview
This is a high-stakes, execution-focused role within the Transformation Office. We are looking for a "day-one" engineer to own the production lifecycle of our AI initiatives. Your mission is to build the automated infrastructure that bridges our legacy data systems with modern AWS and Azure AI services. You will be responsible for the "Ops" of AI: ensuring that LLM applications, RAG pipelines, and traditional ML models are deployable, observable, and scalable in a multi-cloud environment.
Key Responsibilities
Multi-Cloud Pipeline Execution: Build and maintain automated CI/CD and CT (Continuous Training) pipelines across AWS (SageMaker/Bedrock) and Azure (AI Studio).
LLMOps Framework Implementation: Design and execute the infrastructure for Retrieval-Augmented Generation (RAG), including vector database management (OpenSearch, Pinecone, or Azure AI Search) and semantic index optimization.
Legacy Data Connectivity: Build the engineering "pipes" to securely ingest and move data from legacy systems (Mainframes, SQL Server, on-prem DBs) into cloud-native MLOps workflows.
Automated Model Evaluation: Implement systemized frameworks for LLM evaluation (LLM-as-a-judge, ROUGE, METEOR) and traditional ML validation to ensure performance before deployment.
Observability & Monitoring: Deploy real-time monitoring for model drift, hallucination detection, latency, and token consumption to manage both quality and cost.
Infrastructure as Code (IaC): Manage all AI resources using Terraform or CloudFormation, ensuring the cloud posture is reproducible, secure, and follows a "Privacy by Design" mandate.
Advanced Analytics Integration: Partner with teams using platforms like Palantir, Databricks, or Snowflake to ensure a high-fidelity data flow between analytical ontologies and production models.
IT & Security Diplomacy: Work directly with central IT and Security to navigate IAM roles, VPC peering, and firewall configurations, clearing the path for rapid transformation.
Scalable Inference Engineering: Optimize model serving endpoints for high-throughput and low-latency, utilizing containerization (Docker/Kubernetes) and serverless architectures where appropriate.
Prompt & Model Versioning: Establish rigorous version control for prompts (PromptOps), model weights, and data snapshots to ensure 100% auditability and rollback capability.
Data Science Engineering: Support the data science lifecycle by automating feature stores, feature engineering pipelines, and the transition of experimental notebooks into hardened production microservices.
Security & Compliance Hardening: Implement automated scanning and guardrails (e.g., Bedrock Guardrails or Azure Content Safety) to prevent prompt injection and data leakage.
Qualifications
Education: Bachelor's degree in Computer Science or a related field required; Master's degree in a quantitative discipline highly desirable.
Proven Execution: 6+ years of engineering experience, with a minimum of 3 years strictly focused on MLOps or LLMOps in a production environment.
AWS & Azure Mastery: Deep, hands-on proficiency in both ecosystems. You must be able to configure Bedrock and Azure OpenAI services, including private networking and endpoint security, on day one.
Technical Stack: Expert Python, SQL, and PySpark. Extensive experience with containerization (Docker, Kubernetes) and orchestration tools (Airflow, Kubeflow, or Step Functions).
LLM Tooling: Professional experience with evaluation and observability frameworks like LangSmith, Arize Phoenix, or WhyLabs.
Data Science Flavor: A strong understanding of statistical validation, model evaluation metrics, and the ability to partner with Data Scientists to optimize model performance.
Transformation Mindset: The ability to move at the speed of a startup while maintaining the collaborative relationships required to function within a large-scale enterprise IT landscape.
#remote #LI-TS1
Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.
If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
